Convnext Tiny 224 Wikiart
This model is an image classification model fine-tuned on the huggan/wikiart dataset based on facebook/convnext-tiny-224, primarily used for artwork classification tasks.
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Release Time : 3/21/2023
Model Overview
This is a vision model based on the ConvNeXt-Tiny architecture, specifically fine-tuned for the WikiArt dataset to classify art styles or categories.
Model Features
Artwork Classification
Optimized specifically for the WikiArt dataset, capable of accurately identifying and classifying styles and categories of different artworks.
Efficient Architecture
Based on the ConvNeXt-Tiny architecture, it maintains high accuracy while requiring low computational resources.
Transfer Learning
Improved performance on small-scale specialized datasets by fine-tuning on large-scale pre-trained models.
Model Capabilities
Image Classification
Artwork Recognition
Visual Feature Extraction
Use Cases
Art Analysis
Automatic Artwork Classification
Automatically identifies and classifies the style and category of uploaded artworks.
Achieved 71.4% accuracy on the WikiArt dataset.
Digital Art Gallery Management
Assists digital art galleries in organizing and categorizing large collections of artworks.
Education
Art Education Assistant Tool
Helps students identify and understand different art styles.
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